94 research outputs found

    Patients’ and caregivers’ contested perspectives on spiritual care for those affected by advanced illnesses: A qualitative descriptive study

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    Context; Spiritual care refers to practices and rituals addressing spiritual/religious concerns. It supports coping with loss and finding hope, meaning, and peace. Although integral to palliative care, its implementation is challenging. Objective: To understand an Australian cohort of patients’ and caregivers’ perspectives about experiencing and optimizing spiritual care in the context of advanced illness. Methods: Patients and caregivers of patients with #12 month prognosis were recruited from a broader spiritual study via criterion sampling and agreed to opt-in interviews. Participants from an Australian, metropolitan health service received a spiritual care definition and were interviewed. Transcripts were analyzed using qualitative description. Results: 30 patients (17 male; mean age 70 years) and 10 caregivers (six male; mean age 58.9 years) participated. 27 identified as Christian, and 10 had no religion. Participants described multifaceted and contested beliefs about spirituality. Many queried the tangibility of spirituality, but all valued respectful staff who affirmed personhood, that is, each individual’s worth, especially when care exceeded expectations. They also resonated with positive organizational and environmental tones that improved holistic well-being. Participants stressed the importance of the hospital’s welcoming context and skilled care, which comforted and reassured. Conclusion: Although many patients and caregivers did not resonate with the term ‘‘spiritual care,’’ all described how the hospital’s hospitality could affirm their values and strengthen coping. The phrase ‘‘spiritual care and hospitality’’ may optimally articulate and guide care in similar, pluralist inpatient palliative care contexts, recognizing that such care encompasses an interplay of generalist and specialist pastoral care staff and organizational and environmental qualities

    Differential expression of α-synuclein splice variants in the brain of alcohol misusers: Influence of genotype

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    Background: Chronic alcohol misuse causes damage in the central nervous system that may lead to tolerance, craving and dependence. These behavioural changes are likely the result of cellular adaptations that include changes in gene expression. α-Synuclein is involved in the dopaminergic reward pathway, where it regulates dopamine synthesis and release. Previous studies have found that the gene for α-synuclein, SNCA, is differentially expressed in alcohol misusers. Methods: The present study measured the expression of three α-synuclein variants, SNCA-140, SNCA-112, and SNCA-115 in the prefrontal cortex of controls and alcohol misusers with and without cirrhosis of the liver. In addition, eight SNPs located in the 5'- and 3'-UTRs were genotyped in a Caucasian population of 125 controls and 115 alcohol misusers. Results: The expression of SNCA-140 and SNCA-112 was significantly lower in alcohol misusers with cirrhosis than in controls. However, SNCA-115 expression was significantly greater in alcohol misusers with cirrhosis than in controls. Allele and genotype frequencies differed significantly between alcohol misusers and controls for three SNPs, rs356221, rs356219 and rs2736995. Two SNPs, rs356221 and rs356219, were in high linkage disequilibrium. There was no increased risk of alcoholism associated with specific genotypes or haplotypes. Our results suggest that the rs356219/356221 G-A haplotype may decrease the chance of having an alcohol misuse phenotype. Conclusion: These findings suggest that alcohol misuse may alter the expression of the individual α-synuclein splice variants differently in human brain. There was no evidence of an effect of sequence variation on the expression of α-synuclein splice variants in this population

    Playing with the future: social irrealism and the politics of aesthetics

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    In this paper we wish to explore the political possibilities of video games. Numerous scholars now take seriously the place of popular culture in the remaking of our geographies, but video games still lag behind. For us, this tendency reflects a general response to them as imaginary spaces that are separate from everyday life and 'real' politics. It is this disconnect between abstraction and lived experience that we complicate by defining play as an event of what Brian Massumi calls lived abstraction. We wish to short-circuit the barriers that prevent the aesthetic resonating with the political and argue that through their enactment, video games can animate fantastical futures that require the player to make, and reflect upon, profound ethical decisions that can be antagonistic to prevailing political imaginations. We refer to this as social irrealism to demonstrate that reality can be understood through the impossible and the imagined

    Multi-parallel qPCR provides increased sensitivity and diagnostic breadth for gastrointestinal parasites of humans: field-based inferences on the impact of mass deworming

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    BACKGROUND: Although chronic morbidity in humans from soil transmitted helminth (STH) infections can be reduced by anthelmintic treatment, inconsistent diagnostic tools make it difficult to reliably measure the impact of deworming programs and often miss light helminth infections. METHODS: Cryopreserved stool samples from 796 people (aged 2-81 years) in four villages in Bungoma County, western Kenya, were assessed using multi-parallel qPCR for 8 parasites and compared to point-of-contact assessments of the same stools by the 2-stool 2-slide Kato-Katz (KK) method. All subjects were treated with albendazole and all Ascaris lumbricoides expelled post-treatment were collected. Three months later, samples from 633 of these people were re-assessed by both qPCR and KK, re-treated with albendazole and the expelled worms collected. RESULTS: Baseline prevalence by qPCR (n = 796) was 17 % for A. lumbricoides, 18 % for Necator americanus, 41 % for Giardia lamblia and 15% for Entamoeba histolytica. The prevalence was <1% for Trichuris trichiura, Ancylostoma duodenale, Strongyloides stercoralis and Cryptosporidium parvum. The sensitivity of qPCR was 98% for A. lumbricoides and N. americanus, whereas KK sensitivity was 70% and 32%, respectively. Furthermore, qPCR detected infections with T. trichiura and S. stercoralis that were missed by KK, and infections with G. lamblia and E. histolytica that cannot be detected by KK. Infection intensities measured by qPCR and by KK were correlated for A. lumbricoides (r = 0.83, p < 0.0001) and N. americanus (r = 0.55, p < 0.0001). The number of A. lumbricoides worms expelled was correlated (p < 0.0001) with both the KK (r = 0.63) and qPCR intensity measurements (r = 0.60). CONCLUSIONS: KK may be an inadequate tool for stool-based surveillance in areas where hookworm or Strongyloides are common or where intensity of helminth infection is low after repeated rounds of chemotherapy. Because deworming programs need to distinguish between populations where parasitic infection is controlled and those where further treatment is required, multi-parallel qPCR (or similar high throughput molecular diagnostics) may provide new and important diagnostic information

    Sensitivity and Specificity of Multiple Kato-Katz Thick Smears and a Circulating Cathodic Antigen Test for Schistosoma mansoni Diagnosis Pre- and Post-repeated-Praziquantel Treatment

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    Two Kato-Katz thick smears (Kato-Katzs) from a single stool are currently recommended for diagnosing Schistosoma mansoni infections to map areas for intervention. This ‘gold standard’ has low sensitivity at low infection intensities. The urine point-of-care circulating cathodic antigen test (POC-CCA) is potentially more sensitive but how accurately they detect S. mansoni after repeated praziquantel treatments, their suitability for measuring drug efficacy and their correlation with egg counts remain to be fully understood. We compared the accuracies of one to six Kato-Katzs and one POC-CCA for the diagnosis of S. mansoni in primary-school children who have received zero to ten praziquantel treatments. We determined the impact each diagnostic approach may have on monitoring and evaluation (M&E) and drug-efficacy findings

    A gap analysis on modelling of sea lice infection pressure from salmonid farms. II. Identifying and ranking knowledge gaps: output of an international workshop

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    Sea lice are a major health hazard for farmed Atlantic salmon in Europe, and their impact is felt globally. Given the breadth of ongoing research in sea lice dispersal and population modelling, and focus on research-led adaptive management, we brought experts together to discuss research knowledge gaps. Gaps for salmon lice infection pressure from fish farms were identified and scored by experts in sea lice-aquaculture-environment interactions, at an international workshop in 2021. The contributors included experts based in Scotland, Norway, Ireland, Iceland, Canada, the Faroe Islands, England and Australia, employed by governments, industry, universities and non-government organisations. The workshop focused on knowledge gaps underpinning 5 key stages in salmon lice infection pressure from fish farms: larval production; larval transport and survival; exposure and infestation of new hosts; development and survival of the attached stages; and impact on host populations. A total of 47 research gaps were identified; 5 broad themes emerged with 13 priority research gaps highlighted as important across multiple sectors. The highest-ranking gap called for higher quality and frequency of on-farm lice count data, along with better sharing of information across sectors. We highlight the need for synergistic international collaboration to maximise transferable knowledge. Round table discussions through collaborative workshops provide an important forum for experts to discuss and agree research priorities

    Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

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    Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations
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